Solr is an enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g. Word and PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required.
Connexor Machinese analyzers process sequences of written words, identify and classify the various entities in them, and show how these relate to each other, marking the language with a simple and systematic notation. Currently, the Machinese product family includes: Machinese Phrase Tagger, a fast, light-weight morphosyntactic tagger; Machinese Syntax, a full-scale dependency parser; Machinese Semantics, a dependency parser with semantic analysis; and Machinese Metadata, an entity extractor.
Dowser is a Web research and archiving tool that clusters results from search engines, associates words that appear in previous searches, and keeps a local cache of all the results you click on in a searchable database along with summaries and links to related information. It helps you to keep track of what you find, with no advertising.
Ellogon is a multi-lingual, cross-platform, general-purpose language engineering environment, developed in order to aid both researchers who are doing research in computational linguistics, as well as companies who produce and deliver language engineering systems. As a language engineering platform, it offers an extensive set of facilities, including tools for processing and visualising textual/HTML/XML data and associated linguistic information, support for lexical resources (like creating and embedding lexicons), tools for creating annotated corpora, accessing databases, comparing annotated data, or transforming linguistic information into vectors for use with various machine learning algorithms.
Emdros is a corpus query system for storing and searching linguistically annotated text. It is very generic, supporting almost any kind of annotation from almost any linguistic theory. All linguistic levels of analysis are supported, including phonology, morphology, the lexical level, syntax, and discourse. The core libraries act as a middleware layer between a client and an underlying SQL database. MySQL, PostgreSQL, and SQLite are supported.
Marko is a simple toolset that allows you to create markov chain databases of a corpus (or two) of text and then allows you to compare unknown texts to these databases. For any two marko databases you can calculate the probability that the unknown body is related to one over the other. Possible applications include intelligent mail filtering, plagiarism detection, and historical research.